Read more from Catherine Slotnick.

15 Top Innovators in Imaging Informatics

15 Top Innovators in Imaging Informatics

#RADxx members Geraldine McGinty, M.D. and Tessa Cook, M.D. are part of the top 15 innovators in imaging informatics. Health Data Management has identified several leaders in the field who are finding ways to exploit new technology to improve effectiveness and efficiency in radiology departments.

View the full article here – https://www.healthdatamanagement.com/list/15-top-innovators-in-imaging-informatics

Join Us for a #RADxx Tweet Chat!

Join Us for a #RADxx Tweet Chat!

Join us on October 5th, 2017 from 4-5pmEST for a RADxx tweet chat. During our last tweet chat (check out the storify recap), there were over 2.5 million impressions and over 600 tweets! The tweet chat will be driven by Dr. Geraldine McGinty (@DrGMcGinty) and joined by Dr. Amy Kotsenas (@AmyKotsenas), Mini Peiris (@Mini_Peiris), Dr. […]

Is the Future of Radiology Diversity, Acceptance, and Mutual [...]

Is the Future of Radiology Diversity, Acceptance, and Mutual [...]

Hear from one of our #RADxx members, Amy Patel, MD, breast radiologist on the American College of Radiology’s blog. According to Dr. Patel, “We as radiologists will be serving a diverse patient population. We will need to be prepared to meet the needs of our patients, including arriving to mutual understanding to better serve them.”

Takeaways from the 2017 ACR Commission on Human Resources Wo [...]

Takeaways from the 2017 ACR Commission on Human Resources Wo [...]

One of the key takeaways of the 2017 ACR Commission on Human Resource Survey was that gender distribution remains the same; the radiology field is still primarily male. However, the divide is a bit less in younger age groups. And most importantly, only 13% of practice leaders are female. How can we encourage more women to take on leadership positions?

Information Technology Case Studies

Information Technology Case Studies

The Imaging 3.0 case studies series spotlights radiologists who are partnering with clinicians, other medical professionals, and patients to make the transition from a focus on the volume of scans read to the value of care provided. Each case study includes actionable steps that providers can follow to implement similar initiatives at their own institution

Machine Learning Course 2

Machine Learning Course 2

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.

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